Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

Informazioni relative al progetto

EAST

ID dell’accordo di sovvenzione: 864972

DOI

10.3030/864972

Data della firma CE 9 Marzo 2020

Data di avvio 1 Agosto 2020

Data di completamento 31 Gennaio 2027

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 2 000 000,00

Contributo UE

€ 2 000 000,00

Coordinato da

HOYSKOLEN KRISTIANIA - ERNST G. MORTENSENS STIFTELSE
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Open Research Data Pilot (1)

Data Management Plan

"Information concerning the Data Management Plan is described in Annex 1 under ""Work Package 12"" 1. Making data Findable, 2. Making data openly Accessible, 3. Making data Interoperable, 4. Increase data Re-use, 5. Allocation of recourses and data security The data management plan will also have to specify if certain datasets remain closed and the reasons for not giving access should be given."

Pubblicazioni

Peer reviewed articles (15)

White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study

Autori: Man Zhang,Andrea Arcuri,Yonggang Li,Yang Liu,Kaiming Xue
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3585009

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Autori: Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3597205

Enhancing Search-based Testing with Testability Transformations for Existing APIs

Autori: Andrea Arcuri, Juan Pablo Galeotti
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 31(1), 2021, Pagina/e 1-34, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3477271

Tools and benchmarks evolve: what is their impact on parameter tuning in SBSE experiments?

Autori: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Pubblicato in: Empirical Software Engineering, Numero 31, 2026, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-025-10733-y

Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs

Autori: Asma Belhadi, Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on the Web, 2023, ISSN 1559-1131
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3609427

JavaScript SBST Heuristics To Enable Effective Fuzzing of NodeJS Web APIs

Autori: Man Zhang, Asma Belhadi, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3593801

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster

Autori: Andrea Arcuri; Man Zhang; Asma Belhadi; Bogdan Marculescu; Amid Golmohammadi; Juan Pablo Galeotti; Susruthan Seran
Pubblicato in: Software Quality Journal, Numero 1, 2023, ISSN 1573-1367
Editore: springer
DOI: 10.1007/s11219-023-09620-w

Technology adoption performance evaluation applied to testing industrial REST APIs

Autori: Alexander Poth, Olsi Rrjolli, Andrea Arcuri
Pubblicato in: Automated Software Engineering, Numero 32, 2025, ISSN 0928-8910
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10515-024-00477-2

Fuzzing Microservices in Face of Intrinsic Uncertainties

Autori: Man Zhang, Tao Yue, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2026, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3815580

Handling Web Service Interactions in Fuzzing with Search-Based Mock-Generation

Autori: Susruthan Seran, Man Zhang, Onur Duman, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 35, 2026, Pagina/e 1-45, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3731558

".NET/C# Instrumentation for Search-Based Software Testing"

Autori: Golmohammadi, A., Zhang, M., Arcuri, A
Pubblicato in: Software Quality Journal, 2023, ISSN 1573-1367
Editore: springer
DOI: 10.1007/s11219-023-09645-1

Tool report: EvoMaster—black and white box search-based fuzzing for REST, GraphQL and RPC APIs

Autori: Andrea Arcuri, Man Zhang, Susruthan Seran, Juan Pablo Galeotti, Amid Golmohammadi, Onur Duman, Agustina Aldasoro, Hernan Ghianni
Pubblicato in: Automated Software Engineering, Numero 32, 2025, ISSN 0928-8910
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10515-024-00478-1

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs

Autori: Andrea Arcuri, Man Zhang, Juan Galeotti
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2025, Pagina/e 1-36, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3652157

Testing RESTful APIs: A Survey

Autori: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3617175

Enhancing REST API fuzzing with access policy violation checks and injection attacks

Autori: Omur Sahin, Man Zhang, Andrea Arcuri
Pubblicato in: Journal of Systems and Software, Numero 243, 2026, Pagina/e 113060, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2026.113060

Other (9)

Causes and Effects of Fitness Landscapes in System Test Generation: A Replication Study

Autori: O. Sahin, M. Zhang, Andrea Arcuri
Pubblicato in: Arxiv, 2025
Editore: Arxiv
DOI: 10.48550/arxiv.2502.00169

Fuzzing Microservices: A Series of User Studies in Industry on Industrial Systems with EvoMaster

Autori: M. Zhang, Andrea Arcuri, Y. Li, K. Xue, Z Wang, J. Huo, W Huang
Pubblicato in: 2024
Editore: Arxiv
DOI: 10.48550/arxiv.2208.03988

Fuzzing REST APIs in Industry: Necessary Features and Open Problems

Autori: A. Arcuri, A. Poth, O. Rrjolli, P. Garrett, J. P. Galeotti.
Pubblicato in: 2026
Editore: Arxiv

Detecting and Mitigating Flakiness in REST API Fuzzing

Autori: M. Zhang, C. Shen, A. Arcuri, T. Yue.
Pubblicato in: 2026
Editore: Arxiv

Generating REST API Tests With Descriptive Names

Autori: P. Garrett, J. P. Galeotti, A. Arcuri, A. Poth, O. Rrjolli.
Pubblicato in: 2026
Editore: Arxiv

WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing

Autori: O. Sahin, M. Zhang, A. Arcuri.
Pubblicato in: 2026
Editore: Arxiv

Validating HTTP Semantics in REST APIs With Constructed Call Sequence Scenarios

Autori: O. Sahin, A. Arcuri.
Pubblicato in: 2026
Editore: Arxiv

Using OAI Overlay to Enhance REST API Fuzzing

Autori: O. Sahin, M. Zhang, A. Poth, O. Rrjolli, A. Faes, P. Teng, K. Xue, W. Ma, A. Arcuri
Pubblicato in: 2026
Editore: Arxiv

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap

Autori: H. Sartaj, S. Ali, P. Arcaini, A. Arcuri.
Pubblicato in: 2026
Editore: Arxiv

Conference proceedings (17)

Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMaster

Autori: Andrea Arcuri, Philip Garrett, Juan Pablo Galeotti, Man Zhang
Pubblicato in: Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025, Pagina/e 1084-1088
Editore: ACM
DOI: 10.1145/3696630.3728586

Human-Centered Evaluation of REST API Fuzzing Tools: Bridging Academia and Industry

Autori: Fanny Febriani Susilo
Pubblicato in: 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2026, Pagina/e 4137-4140
Editore: IEEE
DOI: 10.1109/ase63991.2025.00395

Detecting Server-Side Request Forgery (SSRF) Vulnerabilities In REST API Fuzz Testing

Autori: Susruthan Seran, Guru Bhandari, Andrea Arcuri
Pubblicato in: Proceedings of the 19th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2026, Pagina/e 23-30
Editore: ACM
DOI: 10.1145/3786155.3788581

EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research

Autori: Andrea Arcuri; Man Zhang; Amid Golmohammadi; Asma Belhadi; Juan P. Galeotti; Bogdan Marculescu; Susrutha Seran
Pubblicato in: ICST, 2023
Editore: ieee
DOI: 10.1109/icst57152.2023.00047

Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study

Autori: Man Zhang, Andrea Arcuri, Piyun Teng, Kaiming Xue, Wenhao Wang
Pubblicato in: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2025, Pagina/e 2024-2034
Editore: ACM
DOI: 10.1145/3691620.3695265

Search-Based Security Testing of Enterprise Microservices

Autori: Susruthan Seran
Pubblicato in: 2024 IEEE Conference on Software Testing, Verification and Validation (ICST), 2024, Pagina/e 463-465
Editore: IEEE
DOI: 10.1109/icst60714.2024.00056

Search-Based Fuzzing For RESTful APIs That Use MongoDB

Autori: Hernan Ghianni, Man Zhang, Juan P. Galeotti, Andrea Arcuri
Pubblicato in: Proceedings of the 7th ACM/IEEE International Conference on Automation of Software Test, 2026, Pagina/e 111-122
Editore: ACM
DOI: 10.1145/3793654.3793747

Evolutionary-based automated testing for GraphQL APIs

Autori: Asma Belhadi,Man Zhang,Andrea Arcuri
Pubblicato in: GECCO, 2022
Editore: ACM
DOI: 10.1145/3520304.3528952

An Empirical Evaluation of Search-Based Algorithms for White-Box Testing of REST APIs

Autori: F. Castagna, M. T. Shalmani, A. Golmohammadi, J. P. Galeotti, and A. Arcuri
Pubblicato in: 2026
Editore: International Colloquium on Theoretical Aspects of Computing (ICTAC)

Introducing Black-Box Fuzz Testing for REST APIs in Industry: Challenges and Solutions

Autori: Andrea Arcuri, Alexander Poth, Olsi Rrjolli
Pubblicato in: 2025 IEEE Conference on Software Testing, Verification and Validation (ICST), 2025, Pagina/e 382-393
Editore: IEEE
DOI: 10.1109/icst62969.2025.10988923

Enhancing White-Box Search-Based Testing of RESTful APIs

Autori: Amid Golmohammadi
Pubblicato in: 2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW), 2024, Pagina/e 9-12
Editore: IEEE
DOI: 10.1109/issrew60843.2023.00034

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Autori: Man Zhang; Asma Belhadi; Andrea Arcuri
Pubblicato in: ICST, 2022
Editore: IEEE
DOI: 10.1109/icst53961.2022.00022

Multi-Phase Taint Analysis for JSON Inference in Search-Based Fuzzing

Autori: Susruthan Seran, Onur Duman, Andrea Arcuri
Pubblicato in: 2025 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT), 2026, Pagina/e 35-42
Editore: IEEE
DOI: 10.1109/sbft66712.2025.00015

Fuzzing for Detecting Access Policy Violations in REST APIs

Autori: Andrea Arcuri, Omur Sahin, Man Zhang
Pubblicato in: 2025 IEEE 36th International Symposium on Software Reliability Engineering (ISSRE), 2026, Pagina/e 130-141
Editore: IEEE
DOI: 10.1109/issre66568.2025.00025

EvoMaster at REST League 2026 Tool Competition

Autori: Andrea Arcuri, Man Zhang, Susruthan Seran, Juan P. Galeotti, Amid Golmohammadi, Philip Garrett, Omur Sahin, Mohsen Taheri Shalmani, Franco Castagna, Iva Kertusha, Fanny Febriani Susilo, Guru Prasad Bhandari, Gebremariam Assres, Jefferson Seide Molléri
Pubblicato in: Proceedings of the 19th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2026, Pagina/e 52-53
Editore: ACM
DOI: 10.1145/3786155.3795705

Search-Based White-Box Fuzzing of Web Frontend Applications

Autori: Iva Kertusha
Pubblicato in: 2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW), 2024, Pagina/e 95-98
Editore: IEEE
DOI: 10.1109/issrew63542.2024.00054

Online Machine Learning Prediction of Failed  Calls to Enhance REST API Fuzzing

Autori: M. T. Shalmani, A. Golmohammadi, J. P. Galeotti, A. Arcuri.
Pubblicato in: 2026
Editore: International Conference on the Quality of Information and Communications Technology (QUATIC).

Book chapters (2)

Search-Based Mock Generation of External Web Service Interactions

Autori: Susruthan Seran, Man Zhang, Andrea Arcuri
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2023, Pagina/e 52-66
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48796-5_4

On the Impact of Tool Evolution and Case Study Size on SBSE Experiments: A Replicated Study with EvoMaster

Autori: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2023, Pagina/e 108-122
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48796-5_8